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Analogies Entre Geostatistique et Analyse en Composantes Principales de Processus ou Analyse Eofs

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Geostatistics

Part of the book series: Quantitative Geology and Geostatistics ((QGAG,volume 4))

Résumé

On rappelle les fondements théoriques de l’Analyse en Composantes Principales appliquée ici à un processus (ACPP), avant de développer une méthode générale d’approximation et de calcul numérique des fonctions propres. Puis, on s’attache à montrer l’intérêt de cette technique, habituellement utilisée en archivage de données, pour l’interpolation d’un processus aléatoire, dans un contexte de multiréalisations, en insistant sur l’analogie avec les méthodes classiques d’interpolation optimale: Gandin, krigeage, fonctions splines. On montrera aussi que, pour la génération d’un processus aléatoire, la méthode peut, à deux dimensions, être comparée avec succès à la méthode des bandes tournantes.

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© 1989 Springer Science+Business Media Dordrecht

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Obled, C., Braud, I. (1989). Analogies Entre Geostatistique et Analyse en Composantes Principales de Processus ou Analyse Eofs. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_12

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  • DOI: https://doi.org/10.1007/978-94-015-6844-9_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-015-6846-3

  • Online ISBN: 978-94-015-6844-9

  • eBook Packages: Springer Book Archive

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